I am a data analyst with a strong foundation in statistics and economics, and hands-on experience uncovering patterns, trends, and insights from real-world data. I have worked with structured datasets to support decision-making through data cleaning, exploratory analysis, regression analysis, and the development of dashboards and reports using tools such as SQL, Excel, Power BI, Tableau, and Looker Studio.
My background in Statistics and my ongoing Master’s degree in Economics have equipped me with strong analytical thinking and a solid understanding of data-driven problem solving. I am comfortable with statistical modeling concepts, including regression analysis (using R), and I have a clear understanding of both supervised and unsupervised machine learning techniques.
What makes me stand out is that I combine strong theoretical knowledge with practical data experience. I am currently expanding my skill set by learning Python to build and deploy machine learning models, with the goal of transitioning fully into data science. I am highly motivated, detail-oriented, and driven by using data to generate meaningful, actionable insights.
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